5 Free Ways to Check If AI Chatbots Recommend Your Product

You can check whether AI chatbots recommend your product in under 10 minutes, and it won't cost you anything. Open ChatGPT, Perplexity, Gemini, Claude, and Copilot. Type a buying-intent prompt in your category. See if your brand shows up. That's the core of it.

But doing it right (and not fooling yourself with a single query) takes a bit more structure. Below are five free methods that give you an honest picture of where your brand stands across AI chatbots, ranked from quickest to most thorough.

If you want to understand why certain brands get recommended over others, our breakdown of how ChatGPT decides which products to recommend covers the mechanics in detail.

Why You Need to Check AI Chatbots for Product Recommendations

AI chatbots are becoming a product discovery channel. When someone asks ChatGPT "what's the best standing desk under $500" and your brand isn't in the answer, you're invisible to that buyer. No amount of Google Ads or SEO will fix that specific problem.

Here's what makes this different from traditional search. Google shows 10 blue links and the user clicks through. AI chatbots give 3-5 direct recommendations with explanations. There's no "page 2." You're either in the answer or you don't exist.

Each AI system pulls from different sources, too. ChatGPT uses live web research plus its training data. Perplexity cites sources in real time. Gemini leans on Google's index. Claude draws heavily from its training corpus. A brand that appears in ChatGPT might be completely absent from Perplexity. That's why checking a single chatbot gives you an incomplete picture.

1. The Direct Query Test (5 Minutes)

Simplest method. Open each chatbot and ask a buying-intent question that a real customer would ask. Not "tell me about [your brand]." That's a vanity query. Use the kind of prompt a buyer who doesn't know you exist would type.

Prompt templates that work:

• "What's the best [product type] for [specific use case]?"
• "Top 5 [product type] under $[price] in 2026"
• "[Product type] recommendations for [audience]: beginner, intermediate, pro"
• "Compare the best [product type] brands"
• "What [product type] should I buy if I care about [specific feature]?"

Run each prompt across all five chatbots. Log whether your brand appeared, what position it was mentioned in, and what the chatbot said about you. I'd honestly say most founders skip this step because it feels too simple. Don't skip it. The results are often surprising.

One important note: ChatGPT results can vary between sessions. Run the same prompt 3 times on different days to get a reliable read.

2. The Competitor Comparison Prompt (10 Minutes)

This one hurts. But it's useful.

Ask each chatbot to compare your brand directly against your top competitors. The phrasing matters because you want to see how the AI positions you relative to alternatives, not just whether it knows you exist.

Prompt templates:

• "Compare [Your Brand] vs [Competitor A] vs [Competitor B] for [use case]"
• "Is [Your Brand] better than [Competitor] for [specific need]?"
• "Pros and cons of [Your Brand] compared to alternatives"

What you're looking for: does the AI have accurate information about your product? Does it mention features you actually have? Does it repeat outdated info (old pricing, discontinued features)? Does it confuse you with another brand?

I think this is the single most revealing test. When an AI chatbot explains why a customer should pick your competitor instead of you, it tells you exactly what signals you're missing. That feedback is worth more than most paid audits.

3. The Category Audit Across All Five Platforms (20 Minutes)

This is where you get systematic. Instead of random queries, build a matrix: 5 chatbots across 5-10 category-relevant prompts. Track every response in a spreadsheet.

Here's a framework that works well:

Pick 5-10 prompts that represent the most common buying questions in your category. Run every single one through ChatGPT, Perplexity, Gemini, Claude, and Copilot. For each response, record three things: (1) did your brand appear, (2) what position, and (3) was the information accurate.

Then calculate your coverage rate. If you ran 10 prompts across 5 platforms, that's 50 total opportunities. If your brand appeared 15 times, your AI chatbot coverage rate is 30%. That number is your baseline.

For a deeper understanding of what "AI visibility" actually measures and why it matters for ecommerce, read our AI Visibility Score breakdown for Shopify stores.

Sample Tracking Spreadsheet

Running this monthly shows you exactly where you're gaining or losing ground. It also reveals which chatbots are your strongest channels and which ones need work.

4. The "Why" Follow-Up Technique (15 Minutes)

Most people stop after the first answer. Don't.

After any chatbot gives you a recommendation list, follow up with: "Why did you recommend [Competitor] over [Your Brand]?" or "What sources did you use to make this recommendation?"

Perplexity is especially useful here because it cites its sources with links. You can see exactly which review sites, Reddit threads, and articles influenced the recommendation. That gives you a concrete list of places where your brand needs to show up.

Follow-up prompts that extract the most insight:

• "Why didn't you include [Your Brand] in that list?"
• "What would [Your Brand] need to be your top recommendation?"
• "What sources did you use for this recommendation?"
• "If I told you [Your Brand] has [specific feature], would that change your ranking?"

The answers aren't gospel. AI chatbots can give plausible-sounding reasoning that doesn't reflect their actual decision process. But the patterns are informative. If three different chatbots all say they couldn't find enough reviews for your brand, that's a signal worth acting on.

If you want to understand the broader context of how AI search engines work differently from Google, our guide on GEO (Generative Engine Optimization) for Shopify explains the mechanics.

5. The Automated AI Visibility Scan (60 Seconds)

Manual checks are great for qualitative insight. You see exactly what the AI says. But they're time-consuming and hard to repeat consistently.

True Margin's free AI Authority Checker automates the process. It scans the underlying signals that AI chatbots use when deciding which brands to recommend: structured data, third-party mentions, review coverage, content depth, and brand presence across key AI training sources.

You get an AI visibility score plus a breakdown of exactly what's helping you, what's hurting you, and what to fix first. No login required, no credit card. Takes about 60 seconds.

Honestly, I think combining methods 1-4 with method 5 gives you the most complete picture. The manual tests show you the actual AI output and tone. The automated scan shows you the structural signals underneath. Together, you know both what the chatbots are saying and why.

How to Score Your Results

After running through the methods above, score your brand on a simple 0-3 scale per platform. This gives you a number you can track over time.

A perfect score across all five platforms would be 15. In practice, most brands we've seen score between 3 and 8 on their first check. Anything above 10 means you're doing well. Below 5 means there's significant work to do.

Track this monthly. The number tells you whether your efforts are working without having to re-read dozens of AI responses every time.

What to Do When AI Chatbots Don't Recommend You

If your scores are low, the fix isn't to optimize your website alone. AI chatbots care about signals from across the web, not just your domain. Here are the highest-impact actions, ranked by effort:

• Get reviewed on third-party sites. Product roundups, comparison articles, and independent reviews on sites the AI trusts.
• Build authentic Reddit presence. Participate in relevant subreddits. Organic Reddit mentions carry weight in AI training data because both Google and OpenAI have licensing agreements with Reddit.
• Add Schema.org structured data. Product, Offer, and Review schemas help AI systems extract your product details accurately. Without structured data, chatbots have to guess, and they usually won't.
• Earn YouTube coverage. Video reviews and product comparisons create rich contextual signals that feed into AI training data.
• Make product pages comprehensive. Thin pages with minimal specs give the AI nothing to work with. Detailed descriptions, spec tables, and clear use-case information make your product recommendable.

For a step-by-step walkthrough on getting your products into AI recommendations, see our guide on how to get your Shopify products recommended by ChatGPT.

Common Mistakes When Checking AI Visibility

A few patterns that trip people up:

Only checking ChatGPT. It's the biggest, but it's not the only AI chatbot people use for product discovery. Perplexity users tend to be especially high-intent. Gemini is baked into Google Search. Skipping any of the five means blind spots.

Using branded queries. Asking "tell me about [Your Brand]" tells you if the AI knows you exist. It doesn't tell you if the AI would recommend you when a customer is actually shopping. Stick to non-branded, buying-intent prompts.

Testing once and assuming the result is permanent. AI models update regularly. Perplexity pulls live search results. ChatGPT's browsing fetches current data. Your visibility can change week to week. Monthly checks are the minimum.

Ignoring accuracy. Getting mentioned is only half the battle. If the AI says your product costs $99 when it actually costs $149, or claims a feature you discontinued, that's worse than not being mentioned at all. Wrong information drives buyers to competitors.

Free Check vs. Paid AI Visibility Tools

The manual methods described above (methods 1-4) are genuinely free. They cost nothing but time. For a solo founder checking one brand, 30-45 minutes per month is reasonable. For an agency managing 20 brands, it's not scalable.

True Margin's AI Authority Checker sits between the two extremes. It's free, automated, and gives you a structured score. It won't show you the exact AI chatbot responses like the manual methods do, but it tells you the underlying signal strength in about a minute.

My recommendation: use the AI Authority Checker for your monthly baseline score, then do a manual deep dive (methods 2-4) once per quarter to catch qualitative issues like inaccurate product information or outdated pricing that the automated scan can't detect.

Frequently Asked Questions

Can I check if ChatGPT recommends my product for free?

Yes. Open ChatGPT and type a buying-intent query in your category, like "best [product type] for [use case]." If your brand appears in the response, ChatGPT is recommending you. Run the same query 3 times on different days because results can vary between sessions.

Which AI chatbots should I check for product recommendations?

Check all five major platforms: ChatGPT, Perplexity, Google Gemini, Claude, and Microsoft Copilot. Each pulls from different data sources and uses different logic. A brand can appear in one chatbot and be completely absent from another, so checking a single platform gives you an incomplete picture.

How often should I audit my AI chatbot visibility?

Monthly, at minimum. AI models update their training data and web retrieval systems on a regular basis. Perplexity fetches live results. ChatGPT browses the web in real time. Your visibility today might not match your visibility next month, so consistent monitoring catches drops early.

Why does ChatGPT recommend my competitor but not me?

ChatGPT weighs third-party signals heavily: independent reviews, Reddit discussions, YouTube coverage, editorial features, and structured data. If your competitor has a stronger presence across these sources, the AI considers them a safer recommendation. The fix is earning authentic mentions on platforms the AI trusts, not just optimizing your own site.

Is there a tool that checks AI visibility automatically?

True Margin's free AI Authority Checker scans the signals AI chatbots use to decide which brands to recommend. You get an AI visibility score with an actionable breakdown. It takes about 60 seconds, no login required.

Do AI chatbot recommendations actually affect sales?

Yes. When someone asks an AI chatbot "what's the best [product] for [use case]" and your brand appears, that's a high-intent referral with zero ad spend. This is a growing discovery channel that most brands haven't optimized for, which means early movers have an outsized advantage right now.